ArticleFrontiers in public health2026
The relationship between sleep quality and physical learning engagement among Chinese college students: a variable centered and person centered analysis.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Smartphone addiction and learning engagement: a parallel mediation model of time management disposition and academic burnout among nursing undergraduates.Frontiers in psychology · 2026Article
- Smartphone addiction and self-esteem among university students: a moderated mediation and latent profile analysis.Frontiers in psychiatry · 2026Article
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Authors and funding
5 authors.
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Abstract
Objective: This study examined the association between sleep quality and physical learning engagement among Chinese college students and tested the serial mediating roles of smartphone addiction and self-esteem. Both variable centered and person centered approaches were adopted to elucidate the underlying mechanisms. Methods: A total of 1,130 college students completed the Pittsburgh Sleep Quality Index (PSQI), the Utrecht Work Engagement Scale for Students (UWES-S), the Mobile Phone Addiction Index (MPAI), and the Rosenberg Self-Esteem Scale (SES). Descriptive statistics, correlation analyses, regression analyses, and mediation analyses were conducted in SPSS 26.0 using the PROCESS macro. Latent profile analysis (LPA) was performed in Mplus 8.3. Results: Sleep quality was negatively associated with physical learning engagement ( Conclusion: The findings showed that poorer sleep quality was significantly associated with lower vigor, dedication, and absorption in physical learning engagement. This association operated through three pathways, a single mediating effect of smartphone addiction, a single mediating effect of SE, and a serial mediating pathway via smartphone addiction and then self esteem, although the overall effect sizes were small. Latent profile analysis further identified four heterogeneous subgroups based on joint levels of smartphone addiction and self esteem; among them, the high-addiction-moderate-self esteem group exhibited the poorest sleep quality and the lowest physical learning engagement. These results provide an empirical basis for stratified interventions in higher education and suggest that improving students' sleep and regulating excessive smartphone use may be effective strategies to enhance physical learning engagement.
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